AI For Dynamical System using Julia

This is a tutorial-style repository showcasing resource-efficient, physics-informed and science knowledge based neural networks in Julia.

📚 Model Overview

✅ Status	Model	Topic	Video	Code
✅	Time-Stepper Neural Network	Predicting time-evolution dynamics	YouTube	examples/01_TimeStepperNN.jl
✅	Flow-Map NN	Predicting Lorenz Equation using Flow-Map NN		examples/02_FlowMapNN.jl
🔜	Physics-Informed Neural Networks (PINNs), UDEs	Learning differential dynamics from data	Coming soon	In progress

How to Use

1. Clone the repo
2. Open Julia and run:

import Pkg; Pkg.activate("."); Pkg.instantiate()